Martin Bicher

681 total citations
43 papers, 204 citations indexed

About

Martin Bicher is a scholar working on Modeling and Simulation, Management Science and Operations Research and Epidemiology. According to data from OpenAlex, Martin Bicher has authored 43 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Modeling and Simulation, 14 papers in Management Science and Operations Research and 7 papers in Epidemiology. Recurrent topics in Martin Bicher's work include COVID-19 epidemiological studies (16 papers), Simulation Techniques and Applications (7 papers) and demographic modeling and climate adaptation (6 papers). Martin Bicher is often cited by papers focused on COVID-19 epidemiological studies (16 papers), Simulation Techniques and Applications (7 papers) and demographic modeling and climate adaptation (6 papers). Martin Bicher collaborates with scholars based in Austria, United States and Philippines. Martin Bicher's co-authors include Niki Popper, Uwe Siebert, Wolfgang Lorenz, Gaby Sroczynski, Beate Jahn, Nikolai Mühlberger, Felix Breitenecker, B. Glock, Stefan Winkler and Wolfgang Huf and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Martin Bicher

36 papers receiving 185 citations

Peers

Martin Bicher
Comparison fields: 5 of 76
  • Modeling and Simulation 94
  • Infectious Diseases 39
  • Epidemiology 37
  • Management Science and Operations Research 37
  • Economics and Econometrics 30
Bismark Singh United States
Jiayang Li China
M Cojocaru Canada
Oluwatoyin Ayo-Farai United States
Paulo Vitor do Carmo Batista Brazil
Mohammad Reza Faraji United States
David Manheim Israel
Rubén A. Proaño United States
Hélder Seixas Lima Brazil
Bismark Singh United States View profile →
Citations per field, relative to Martin Bicher
Martin Bicher · 1×
Citations per year, relative to Martin Bicher
Martin Bicher · 1×

Countries citing papers authored by Martin Bicher

Since Specialization
Citations

This map shows the geographic impact of Martin Bicher's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Bicher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Bicher more than expected).

Fields of papers citing papers by Martin Bicher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Bicher. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Bicher. The network helps show where Martin Bicher may publish in the future.

Co-authorship network of co-authors of Martin Bicher

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Bicher. A scholar is included among the top collaborators of Martin Bicher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Bicher. Martin Bicher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 0
4 8
5 10
6 1
7 15
8 1
9 6
10 7
11 29
12 8
13 30
14 3
15 2
16 1
17 1
18 3
19 1
20
Making Modelling Teachable - MMT
1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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